{"id":"W3000114062","doi":"10.3390/biomedicines8010014","title":"Aptamer-Conjugated Tb(III)-Doped Silica Nanoparticles for Luminescent Detection of Leukemia Cells","year":2020,"lang":"en","type":"article","venue":"Biomedicines","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Conjugated system; Nanoparticle; Biosensor; Luminescence; Fluorescence; Chemistry; Nanotechnology; Covalent bond; Materials science; Biophysics; Combinatorial chemistry; Molecular biology; Organic chemistry; Polymer; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009087737,0.000150909,0.000235743,0.00004827495,0.00004926712,0.000006015127,0.0001106117,0.0001148546,0.00000139261],"category_scores_gemma":[0.00009575998,0.0001181394,0.0001137025,0.0002327023,0.0001750407,0.000003089292,0.00004170513,0.00003696912,0.00000123723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001384174,"about_ca_system_score_gemma":0.00003787205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002653824,"about_ca_topic_score_gemma":0.00001312207,"domain_scores_codex":[0.9990723,0.00002287466,0.0003032956,0.0003137304,0.0001098168,0.0001780134],"domain_scores_gemma":[0.9993843,0.00001408079,0.0001485861,0.0001916156,0.0001647853,0.00009659951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002555975,0.00002718882,0.00004888167,0.00004559372,0.00005006625,8.952446e-7,0.000032312,0.000002074808,0.9900209,0.000002146979,0.001348072,0.008166314],"study_design_scores_gemma":[0.0006297375,0.0007386457,0.00007300905,0.00001987049,0.00007285648,0.000002683779,0.0001324714,0.0005253705,0.9763693,0.000008732023,0.02128782,0.0001395342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936819,0.0003387545,0.004856299,0.0006390976,0.00009334976,0.0002782332,0.00002701489,0.00005882085,0.00002651895],"genre_scores_gemma":[0.997153,0.0001536027,0.00159785,0.0005429994,0.0003680434,0.00001454264,0.00007769927,0.00001755572,0.00007472365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993975,"threshold_uncertainty_score":0.4817585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134899343457444,"score_gpt":0.2582277656549445,"score_spread":0.2447378313092001,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}